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2010 Advanced Mathematical Decision Making In Texas, also known as Advanced Quantitative Reasoning Unit II: Probability This course is a project of The Texas Association of Supervisors of Mathematics and The Charles A. Dana Center at The University of Texas at Austin With support from the Greater Texas Foundation

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Page 1: Advanced Mathematical Decision Making - PBworkspfitzpatrick.pbworks.com/w/file/fetch/68006707/UNIT 2.pdfAdvanced Mathematical Decision Making (2010) Table of contents Charles A. Dana

2010

Advanced Mathematical

Decision Making In Texas, also known as

Advanced Quantitative Reasoning

Unit II: Probability

This course is a project of

The Texas Association of Supervisors of Mathematics and

The Charles A. Dana Center at The University of Texas at Austin

With support from the Greater Texas Foundation

Page 2: Advanced Mathematical Decision Making - PBworkspfitzpatrick.pbworks.com/w/file/fetch/68006707/UNIT 2.pdfAdvanced Mathematical Decision Making (2010) Table of contents Charles A. Dana

Advanced Mathematical Decision Making (2010) Table of contents

Charles A. Dana Center at The University of Texas at Austin

ii

Advanced Mathematical Decision Making

In Texas, also known as

Advanced Quantitative Reasoning

Student Materials

These student materials are excerpted from one of seven units that make up the 2010 AMDM/AQR instructional materials (developed under the name Advanced Mathematical Decision Making).

Unit I: Analyzing Numerical Data

Unit II: Probability Unit III: Statistical Studies Unit IV: Using Recursion in Models and Decision Making

Unit V: Using Functions in Models and Decision Making Unit VI: Decision Making in Finance Unit VII: Networks and Graphs

Table of Contents

II.A Student Activity Sheet 1: Using Venn Diagrams .............................................. 1 II.A Student Activity Sheet 2: Using Tree Diagrams ............................................... 3 II.A Student Activity Sheet 3: Using Area Models .................................................. 8 II.A Student Activity Sheet 4: All-American Breakfast Choices ................................ 12 II.B Student Activity Sheet 5: Probability in Games ............................................. 14 II.B Student Activity Sheet 6: Driving and Risk ................................................... 16 II.B Student Activity Sheet 7: Stocks and Risk .................................................... 18 II.B Student Activity Sheet 8: Choosing Classes .................................................. 20 II.C Student Activity Sheet 9: Binomial Probability and Expected Value ..................... 22 II.C Student Activity Sheet 10: Expected Allowance ............................................. 25

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 1: Using Venn Diagrams

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 1, 2 pages

1

Ms. Snow conducted a survey of her homeroom. She asked students what math course and what science course they were taking this semester. Below are the results.

1. Analyze the data in the Venn diagram and list five facts about Ms. Snow’s homeroom.

2. If a student is selected at random from Ms. Snow’s homeroom, what is the probability that the student is taking Algebra II and Chemistry? Explain your reasoning.

3. If a student is selected at random from Ms. Snow’s homeroom, what is the probability that the student is not taking Algebra II or Chemistry? Explain your reasoning.

4. Find the probability P(Algebra II or Chemistry). Explain your reasoning.

5. Find the probability of a student taking Chemistry, given that the student is not taking Algebra II, or P(Chemistry/not taking Algebra II).

Students survey 758 spectators at a national championship tennis match. The survey results indicate the following:

• 421 are male,

• 256 have a two-handed backhand swing, and

• 176 of the people with a two-handed backhand swing are female.

Draw a Venn diagram and label the data.

6. What is the probability that a person selected at random from the survey group is male? Explain your reasoning.

7. What is the probability that a person selected at random from the survey group is female? Explain your reasoning.

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 1: Using Venn Diagrams

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 1, 2 pages

2

8. What is the probability that a person selected randomly from the survey group has a two-handed backhand swing? Explain your reasoning.

9. What is the probability that a person selected randomly from the survey group is a male or has a two-handed backhand swing? Explain your reasoning.

10. What is the probability that a person selected randomly from the survey group does not have a two-handed backhand swing, given that the person is male, or P(no two-handed backhand/male)?

11. REFLECTION: Describe the characteristics of a situation that suggest the usefulness of a Venn diagram as a model of the situation.

12. EXTENSION: Describe a situation that could be modeled with a Venn diagram and create the diagram. Use the diagram to determine the probability of at least two events that are possible in the situation.

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 2: Using Tree Diagrams

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 2, 5 pages

3

A church group in Washington state sells pumpkins every year to raise money for the children of their town. This year’s crop, however, produced very small pumpkins. The group decided to construct a corn maze in a field and charge customers to walk through the maze. Customers can only walk forward. If the customers end up at an exit with pumpkins, they win a pumpkin. The church group asked some students to advise it on various possibilities of a customer getting a pumpkin.

Students were shown a simple maze as an example.

1. Make a tree diagram to show the group the possible paths customers might take, entering the maze on the upper, middle, or lower path and proceeding to an exit with or without a pumpkin.

How is this tree diagram different from others you have worked with before?

Create-a-Sandwich Menu

Bread Meat Cheese

White Ham American

Wheat Turkey Swiss

Beef Provolone

Muenster

2. Create a tree diagram showing all possible sandwiches.

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 2: Using Tree Diagrams

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 2, 5 pages

4

Assume that you make all the possible sandwich combinations that you can using one choice from each column of ingredients in the table (bread, meat, cheese). Then someone puts all these different sandwiches in unmarked sacks on the counter. Given this information, answer Questions 3–7?

3. What is the probability you will select a sandwich with white bread? Explain your reasoning.

4. What is the probability you will select a sandwich with American cheese? Explain your reasoning.

5. What is the probability that you will select a sandwich on wheat bread with ham and any cheese? Explain your reasoning.

6. What is the probability you will select a sandwich on white bread that has either beef or turkey and has Provolone cheese? Explain your reasoning.

7. What is the probability you will select a sandwich with neither beef nor Muenster cheese? Explain your reasoning.

8. REFLECTION: Write three probability questions that can be answered using your tree diagram, and then provide the answers.

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 2: Using Tree Diagrams

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 2, 5 pages

5

As president of the high school band, Catrina needs to pick a committee of 2 to accompany her each time she visits middle schools. The director told her that each committee had to consist of 1 boy and 1 girl; 5 boys and 4 girls volunteered to go. To be fair, Catrina makes a spinner with the boys’ names and a spinner with the girls’ names. Each time she schedules a visit, Catrina spins each spinner once to determine who goes with her. If a spinner lands on a line, she spins again.

9. Draw a tree diagram to show all the possible combinations of volunteers who might go with Catrina. How many outcomes are in the sample space?

10. Are all the outcomes equally likely? What would make the outcomes not equally likely?

11. What is the probability that Nathan will be selected? Explain your reasoning. List the possible outcomes for 2-person committees that include Nathan.

12. If Ave decides she cannot go on a visit she is scheduled for, how does this change the probability for other boys or other girls to be selected? Explain your reasoning.

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 2: Using Tree Diagrams

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 2, 5 pages

6

13. EXTENSION: Create a scenario for the tree diagram below. Write three probability problems that can be answered using the tree diagram, and then provide the answers.

14. EXTENSION: Mr. Silvas surprises his students with a probability challenge that will determine whether they will take a quiz. He puts three cubes in each of three paper bags: a red cube, a white cube, and a blue cube. He divides the class into four groups of students and tells them that each group will draw one cube from each bag. Each group is challenged to come up with a rule to determine whether they will take the quiz based on if their selection of cubes matches or does not match a criteria they identify in advance. Two groups establish a rule for a cube combination that leads to the outcome of taking the test, and the other two groups establish a rule for a cube combination that leads to the outcome of not taking the test.

a. Draw a tree diagram to show the sample space.

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 2: Using Tree Diagrams

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 2, 5 pages

7

b. Evaluate each group’s decisions. Determine the probability that the outcome chosen by each group will occur.

Group 1: If the group ends up with a red cube, a white cube, and a blue cube (order does not matter), its members take the test.

Group 2: If the group ends up with at least two red cubes, its members take the test.

Group 3: If the second cube selected is white, the group does not take the test.

Group 4: If the group ends up with two cubes of the same color, its members do not take the test.

c. Suggest another outcome. What is the probability that your outcome will occur?

d. Which group would you join if you got to choose? Why?

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 3: Using Area Models

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 3, 4 pages

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Recall the rules for the pumpkin problem you looked at in Student Activity Sheet 2 with a tree diagram: A customer walks forward through the maze with the possibility of winning a pumpkin; this depends on whether there is a pumpkin at the exit where they come out of the maze. One student, Kyra, draws an area model that demonstrates the probability of getting a pumpkin using this maze.

Kyra explains, “As customers enter the maze, what are the path possibilities? They can take the upper path, middle path, or lower path. These three options lead you to divide the area model into three sections. Next, look at each path and decide how to divide each section. The upper path divides into two paths, the middle path stays one path, and the lower path divides into two paths. Next, decide which part of the model of the maze gets a pumpkin and which part does not.”

Upper path No pumpkins Pumpkins

Middle path Pumpkins

Lower path Pumpkins No pumpkins

The probability of getting a pumpkin is

2

3, and the probability of not getting a pumpkin

is

1

3.

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 3: Using Area Models

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 3, 4 pages

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1. How does the area model Kyra created compare to the tree diagram from your work in Student Activity Sheet 2?

2. Design another possible maze the group might create, perhaps with more branches, and use an area model to show the possible outcomes. Try out your maze with other classmates to see if they are able to draw an appropriate area model.

Below is a drawing of a second maze the church decided to construct.

3. Use an area model to determine the theoretical probability of a customer taking home a pumpkin.

4. If 50 customers enter the maze, how many pumpkins do you expect to give away? Explain your reasoning.

5. The maze has six exits. If you want to give away a lot of pumpkins, at which three exits do you put the pumpkins? Explain your reasoning. (Hint: Number the exits 1 through 6, and have the area model show where the path ends.)

6. If you do not want to give away too many pumpkins, at which three exits do you put the pumpkins? Explain your reasoning.

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Probability: Determining Probabilities II.A Student Activity Sheet 3: Using Area Models

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 3, 4 pages

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7. REFLECTION: What would a maze look like with equally likely outcomes? What would the corresponding area model look like? What is an advantage of the area model?

8. EXTENSION: Because this year’s maze was such a success, Emma draws a plan for next year. Draw a maze that fits her plan.

• Y—The customer gets a pumpkin.

• N—The customer does not get a pumpkin.

Y N Y Y

N Y

N N Y

a. Find P(Y). Explain your reasoning.

b. Find P(N). Explain your reasoning.

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Probability: Determining Probabilities II.A Student Activity Sheet 3: Using Area Models

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 3, 4 pages

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9. REINFORCEMENT: You can use an area model to analyze probability situations that involve more than one stage. The following example involves selecting a marble (yellow, red, or blue) from one jar and a cube (yellow, red, or green) from another jar.

Compare the following Punnett square to a tree diagram representing the same scenario.

R Y G

R RR RY RG

R RR RY RG

B BR BY BG

Y YR YY YG

a. Find P(RY).

b. Find P(at least one red).

c. Find P(both being the same color).

Poss

ibilit

ies

for

Jar

1

Possibilities for Jar 2

Each cell represents one outcome.

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Probability: Determining Probabilities II.A Student Activity Sheet 4: All-American Breakfast Choices

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 4, 2 pages

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Fallon’s Bistro

The American Breakfast Only $3.99

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Student: Class: Date:

Probability: Determining Probabilities II.A Student Activity Sheet 4: All-American Breakfast Choices

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 4, 2 pages

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1. Create a scenario that tells the story of the tree diagram data.

2. Using the tree diagram, answer the following questions.

a. What do you notice about the percentages attached to the choices in the tree diagram?

b. If you leave the choices and change their percentages, what does this do to the sample space?

c. What is true about the sum of the probabilities of each outcome in the sample space?

3. How many combinations of the American Breakfast are possible? Explain your reasoning.

4. What is the probability that the next order of the American Breakfast is fried eggs, bacon, and Italian toast? Where on the tree diagram is this outcome indicated? Explain your reasoning.

5. What is the probability that the next order of the American Breakfast is not scrambled eggs, bacon, and Italian toast? Explain your reasoning.

6. What is the probability that the next customer to get the American Breakfast orders either Italian toast or white toast? Explain your reasoning.

7. REFLECTION: What would an area model look like that models the choices at Fallon’s Bistro?

8. EXTENSION: Consider the two options below. Choose one option, and respond to its questions.

Option 1: If Fallon’s Bistro adds pancakes or waffles as a choice to the American Breakfast, how does this addition affect the sample space? Where did you add the new choice? Why did you add it there? Explain your reasoning.

Option 2: What happens if hard-boiled eggs are added to the egg choices of the American Breakfast? How does this addition affect the sample space? Explain your reasoning.

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Student: Class: Date:

Probability: Everyday Decisions Based on Probabilities II.B Student Activity Sheet 5: Probability in Games

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 5, 2 pages

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Victoria is playing a new video game in which the object is to find hidden treasures. To do so, she must travel through several levels, clashing with guards and watchdogs. In one part of the journey, Victoria must pass through two gates (Gate 1, then Gate 2) to get to the next level.

• The chance that Gate 1 is open is 20%.

• The chance that Gate 2 is open is 30%.

• The game designer has programmed the gates so that the probability of both being open at the same time is 0.1.

Draw a model of the situation to help you answer Questions 1–5. Explain why you chose the particular type of model from among the various probability models.

1. What is the probability that both gates are open when Victoria reaches this part of the game? Explain your reasoning.

2. What is the probability that only Gate 1 is open when Victoria reaches this part of the game? Explain your reasoning.

3. What is the probability that only Gate 2 is open when Victoria reaches this part of the game? Explain your reasoning.

4. What is the probability that neither gate is open when Victoria reaches this part of the game? Explain your reasoning.

5. What is the probability that Victoria finds exactly one gate open?

Victoria encounters another challenge in the game. If she zaps a target in one try, Victoria gets a chance to capture a bonus shield. To capture the bonus shield, she must hit a second target in one try. Victoria can hit a target in one try an average of 60% of the time.

Draw a model of the situations to help you answer Questions 6–8.

6. What is the probability that Victoria hits the first target? Explain your reasoning.

7. What is the probability that Victoria captures the bonus shield? Explain your reasoning.

8. What is the probability that Victoria hits the first target and does not hit the second target to capture the shield? Explain your reasoning.

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Probability: Everyday Decisions Based on Probabilities II.B Student Activity Sheet 5: Probability in Games

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 5, 2 pages

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9. REFLECTION: How would you advise your friends who might be interested in playing a new video game?

10. EXTENSION: Create two probability situations that use conditional probability. Describe the outcomes for these situations.

11. EXTENSION: Create a probability situation that uses compound events. Describe the outcomes for the situation. What type of model do you think will help you answer questions about the situation?

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Student: Class: Date:

Probability: Everyday Decisions Based on Probabilities II.B Student Activity Sheet 6: Driving and Risk

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 6, 2 pages

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Javier will be a high school senior next year. He wants to get a vehicle to celebrate his graduation. Javier’s mother researched vehicle safety and found that 1 of every 6 teenage drivers was involved in some kind of accident. While talking to his math teacher, Javier mentioned that he did not think the risk was high enough to be concerned. Javier decided to survey 500 students, 230 of whom were male, to help him convince his mother to allow him to get a vehicle. No student has both a car and a motorcycle.

The following are the data from Javier’s survey:

Car Motorcycle

Males with vehicle 150 23

Males involved in accident 40 6

Females with vehicle 225 10

Females involved in accident 15 4

1. Draw a Venn diagram and a tree diagram of the data.

2. Using the data, what is the probability that Javier will be involved in an accident if he gets a motorcycle? Explain your reasoning.

3. Based on these survey data, Javier told his mother that he only has a 1% chance of getting in an accident. Is he correct? Why or why not?

4. Use your Venn diagram to write three facts that help Javier convince his mother to let him get a vehicle.

5. What probability model would you advise Javier to use when he tries to convince his mother?

6. REFLECTION: List some advantages and disadvantages for each type of model used in

this problem.

7. EXTENSION: Research your favorite vehicle’s safety measures and its likelihood of being involved in an accident. Prepare a short presentation of your findings.

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Probability: Everyday Decisions Based on Probabilities II.B Student Activity Sheet 6: Driving and Risk

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 6, 2 pages

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8. EXTENSION: Investigate other applications of decision making in situations involving risk—both situations where the risk is known (that is, you have some sort of data to determine mathematically how likely it is to occur) and situations where risk information is not known ahead of time. Examples include purchasing insurance, increasing or decreasing premiums on insurance, and not being eligible for insurance because of high risks. Prepare a short presentation of your findings to share with the class.

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Student: Class: Date:

Probability: Everyday Decisions Based on Probabilities Student Activity Sheet 7: Stocks and Risk

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 7, 2 pages

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Javier will be a senior next year in high school. To celebrate his graduation, his grandmother gave him a sizeable about of money. Since he has scholarships for college, Javier decided to investigate investing the money in stocks. He talked to a consultant, who explained some of her investment types and their returns as compared to the market average. Javier’s choices were to invest in high- or low-capital stock and domestic or international.

The following is a summary of the data for the last quarter:

Domestic International

High-capital stock 250 40

Low-capital stock 200 10

High-capital stock with below-average showing

40 6

Low-capital stock with below-average showing

15 4

1. Draw a Venn diagram and a tree diagram of the data.

2. Using the data, estimate the probability that a high-cap domestic stock performs at or above market average.

3. What type of stock would you suggest Javier invest in if he wants to limit his risk of the stock performing below market average. Why?

4. Contrast the performance of international and domestic stocks as compared to the market average.

5. Write three facts that help Javier decide in which types of stocks to invest.

Did you use the Venn diagram or the tree diagram to find the facts? Which was most helpful? Why?

6. REFLECTION: List the advantages and disadvantages of the types of models used in this problem.

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Probability: Everyday Decisions Based on Probabilities Student Activity Sheet 7: Stocks and Risk

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 7, 2 pages

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7. EXTENSION: Javier decides to invest $100 in high-cap domestic stocks. He narrows his choice to stock in Txtel or stock in TxMart, both of which have the same price today. Txtel is a growth stock in the technology sector. It tends to be more volatile. Based on financial analysis, this stock may go down $10 with a probability of 0.4 or up $8 with a probability of 0.6 in the next quarter. TxMart is a value stock in the domestic goods sector. It is projected to drop $4 with a probability of 0.2 or go up $2 with a probability of 0.8. Which stock do you recommend? Why?

8. EXTENSION: Investigate other applications of decision making in situations involving risk—both situations where the risk is known (that is, you have some sort of data to determine mathematically how likely it is to occur) and situations where risk information is not known ahead of time. Examples include purchasing insurance, increasing or decreasing premiums on insurance, and not being eligible for insurance because of high risks. Prepare a short presentation of your findings to share with the class.

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Probability: Everyday Decisions Based on Probability II.B. Student Activity Sheet 8: Choosing Classes

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 8, 2 pages

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Four teachers offer Zane’s favorite computer class at different times during the day. The school counselor asks Zane if he prefers a morning or afternoon class. Below is a list of teachers and the periods they teach this class. The morning classes are 1st, 2nd, and 3rd periods, and the afternoon classes are 4th, 5th, and 6th periods.

• Mr. Nelson—2nd, 4th, 5th, 6th

• Ms. Trevino—1st, 2nd, 3rd, 4th, 5th

• Mr. Garza—1st, 3rd, 4th, 6th

• Ms. Jones—1st, 2nd, 3rd, 6th

1. Before answering the counselor’s question, Zane wants to list all the possibilities so he can make a choice that gives him the highest probability of getting a teacher he prefers. Create a table and a tree diagram that illustrate the possibilities.

2. Before deciding on a morning or afternoon class, Zane remembers he wants to take his math class during 3rd period. What is the probability that he will be assigned the computer class during this time?

3. Zane prefers to be in the class of Ms. Trevino or Mr. Nelson. Should he pick the morning or the afternoon? Explain your reasoning.

4. After checking the schedule, the counselor told Zane that Mr. Garza’s classes are filled. How does this information affect the probability of Zane getting any afternoon class? If Zane asks for an afternoon class, how does this affect his probability of getting Mr. Nelson or Ms. Trevino?

5. Because this is a required class for all students and Mr. Garza’s classes are filled, the school adds another teacher, Ms. Lopez. She will teach 1st and 6th periods. Does this fact affect the probability of getting Mr. Nelson in the morning?

6. While Zane is calculating probabilities so he can make his decision, the class offerings change. (Mr. Garza’s classes fill, and Ms. Lopez is added.) If Zane requests an afternoon class, what is his probability of getting Ms. Trevino for 4th period?

7. REFLECTION: What other factors might influence Zane’s class selection? Would these factors be reflected in the diagram or data? If so, describe the new diagram or set of data.

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Probability: Everyday Decisions Based on Probability II.B. Student Activity Sheet 8: Choosing Classes

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 8, 2 pages

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8. EXTENSION: Meet with the person on your campus who is responsible for creating the master schedule. Prepare a set of questions similar to the ones that Zane faced and record the responses. Share your findings with the class, including at least one decision you can make based on those findings.

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Student: Class: Date:

Probability: Expected Value II.C Student Activity Sheet 9: Binomial Probability and Expected Value

Charles A. Dana Center at The University of Texas at Austin Advanced Mathematical Decision Making (2010) Activity Sheet 9, 3 pages

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At the National Baseball Batting Contest, the organizers have set up game booths for the contestants. Richard wants to win a large stuffed animal. The rules of the game are as follows:

• You are pitched 5 fastballs, and you must hit them into a fair zone to count. • If you successfully hit all 5 pitches, you win a large stuffed animal. • If you successfully hit 3 or 4 pitches, you win a small stuffed animal. • If you successfully hit 1 or 2 pitches, you win a bat-shaped pencil. • If you miss all the pitches, you do not win a prize. • The game costs $3 to play (each set of 5 fastballs).

1. What are the possible outcomes that Richard can have on his 5 swings? Explain or show how you arrived at your answer?

2. What is the probability of Richard successfully hitting the following? Justify your answers.

a. All 5 pitches?

b. 4 pitches?

c. 3 pitches?

d. 2 pitches?

e. 1 pitch?

f. 0 pitches?

3. Suppose Richard tries the game 10 times. How many times do you expect him to successfully hit the given amounts of times below? Justify your answers.

a. 5

b. 4

c. 3

d. 2

e. 1

f. 0

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4. Everyone has the same chance as Richard to win. If 160 people each play the game once,

how many large stuffed animals will be won? Explain your reasoning.

5. If 160 people each play the game once, how many small stuffed animals will be won? Explain your reasoning.

6. If 160 people each play the game once, how many bat-shaped pencils will be won? Explain your reasoning.

7. If a large stuffed animal costs the game organizers $6, a small stuffed animal costs $1, and a pencil costs $0.25, how much profit do you expect the group to make from the 160 players?

8. EXTENSION: For the game described in which you are pitched 5 fastballs, you found the probabilities of successfully hitting 5, 4, 3, 2, 1, or 0 pitches. Suppose the game is changed and you are pitched various number of pitches. Find the probabilities of each outcome and look for a pattern of numbers. (Because you are looking for a pattern, do not simplify the fractions.)

1 pitch:

2 pitches:

3 pitches:

4 pitches:

Consider the geometric arrangements known as Pascal’s triangle below. Decide how the values in the triangle are generated. Then compare the values you found for the probabilities above to the values in the triangle. What do you notice?

If you had to successfully hit 6 of 6 pitches to win the large stuffed animal, what is the probability of winning the large stuffed animal? Use Pascal’s triangle in your solution.

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9. EXTENSION: Research the use of Pascal’s triangle. Prepare a short class presentation regarding your findings. Be sure to include the connection to combinatorics.

10. EXTENSION: Investigate the probabilities and associated expected values related to winning a state or local lottery game. Prepare a short class presentation about the probable outcomes of event of winning the lottery.

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Yvonne gets $15 a week for allowance. She also loves to play basketball. Yvonne wants to convince her father to try something new with her allowance based on her basket-shooting talent, hoping that it will increase what she receives. Yvonne suggests that instead of getting $15, she attempt shooting baskets each week for her allowance.

• If she misses the first basket, she gets only $5. • If she makes (succeeds with) the first basket, she gets $15 and a chance to make

another basket for an additional $10.

Yvonne can make a basket 40% of the time

1. To help Yvonne’s father decide whether to use the new allowance plan, find the probability of Yvonne making 0 baskets, I basket, and 2 baskets. Justify your reasoning with an appropriate model.

2. How many times in a year do you expect Yvonne to get $5? $15? $25?

3. How much allowance should Yvonne expect to receive in a year?

4. Should Yvonne’s father accept the deal? Justify your reasoning.

Yvonne practiced shooting baskets all year. She can now make a basket 60% of the time. Yvonne offers her father the same deal.

5. What is the probability of Yvonne making 0 baskets? 1 basket? 2 baskets?

6. How much money do you expect Yvonne to receive in a year?

Reinforcement

Yvonne’s younger sister, Lisa, wants her father to offer her the same deal. Lisa can make a basket 20% of the time.

7. How many times do you expect Lisa to receive $5? $15? 25? Justify your reasoning using an appropriate model.

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8. You have now looked at Yvonne’s situation (with a 40% shooting percentage) and Lisa’s (with a 20% shooting percentage) to determine what percent of the time they are each likely to receive $5, $15, and $25 in allowance. Make a table and a graph that show the relationship between these shooting percentages and the amount of allowance earned, as well as other possible shooting percentages related to the amount of allowance earned. Describe how this relationship changes based on a person’s shooting percentage.

Amount of Allowance Percentage of Making a

Basket $5 $15 $25 Average

Allowance Per Week

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9. Lisa’s ability to make a basket improved to 30%. Using your graph, what average weekly

allowance should she expect? What is the actual average amount Lisa should expect?

10. If Yvonne wants to earn an average weekly allowance of $15, what percentage of baskets must she make?

11. Yvonne’s father figured out that he had been giving Yvonne $20 per week for her allowance. What percentage of the baskets is Yvonne making? What information did you use to answer this question?

12. EXTENSION: Research popular basketball players or teams to find current percentages associated with making free throws, 2-point shots, and 3-point shots. Create a geometric probability model of a scenario using the player or team to make the given shot in a particular situation. Provide explanations as needed for sharing with others in the class.

(Note: Basketball statistics do not break out the 2-point percentage in its own category in the same way that free throws and 3-pointers are broken out. Instead 2- and 3-point goals are combined in the Field Goals Made [FGM] category. Determine the number of 2-point shots made by subtracting the 3-point shots made from the FGM.)

13. MINI-PROJECT: Design a carnival game that is of interest to your age group.

• Make a scale model of the game.

• Include a report with your model that details the following:

a. Experimental and theoretical probability of winning the game b. Expenses c. Expected payoff d. Profit e. Rules of the game f. Prizes and how to earn the prizes g. Why the game should be selected for the carnival